Context and backgroundExtreme heat is one of the challenges facing urban areas. Though this constitutes a global urban challenge, especially large cities in the world, Urban studies have barely paid attention to urban heat.Goal and Objectives:This study attempts to respond to the research gap through drawing on early warning systems to explore community and governments to extreme heat, in particular, how residents adapt to extreme heat in Dar es Salaam.Methodology:Kigogo ward in the city of Dar es Salaam was selected as a case study area.

Context and objectives:Climate extremes associated with wet and dry conditions are one of the main causal elements of the disasters that adversely impact Uganda`s agriculturally based economy. However, the lack of reliable forecast records for wet and dry conditions remains a challenge at a local scale.

Context and Background Estimating cereal yields in Morocco is still based on the traditional statistical method known as "CCE" crop cutting, which is objective but tedious and requires a lot of logistics, despite the fact that in 2012 a system for predicting cereal yields in Morocco called "CGMS_MA" was introduced to support this method; this system does not allow yields to be estimated at plot level, given the coarse resolution of the integrated satellite images (NDVI_AVHR), which is 1.1km.

In Tanzania, the increase in the number of commercial motorcycles operating in the urban areas has resulted to the establishment of informal parking spaces in various parts of towns and cities. This research aimed to explore the criteria used by commercial motorcycle operators to establish informal motorcycle parking spaces in urban areas. The study on the influence of land use on the spatial distribution of informal motorcycle parking spaces applied triangulation techniques to ensure the validity and reliability of the collected data.

Context and background:Intelligent transportation is a dynamic field focused on enhancing travel efficiency, reducing congestion, and increasing convenience. Central to this domain is the collection and analysis of spatio-temporal data, enabling precise traffic flow predictions and the development of intelligent traffic management systems. Integrating geospatial data, encompassing road topology and proximity to public infrastructure and transportation services, presents a significant challenge in designing effective intelligent transportation systems.

Context and backgroundThe Polytechnic University of Valencia UPV is collaborating with Valencia City Council in Spain, as part of the European GrowGreen project, to carry out a baseline study of the neighborhood, with the aim of improving the well-being of citizens and enhancing the green infrastructure of the Benicalap district.Goal and Objectives:In this research, monthly climate data recordings are made between April 2018 and July 2012, to compare the effects of different vegetation in different areas of the Benicalap park, on the temperature inside the soil as a function of the seasons.

Context and background As a result of advancement in Technology, the densification of Survey Control Points (SCP) has become very easy. There has been some Survey Control Points (SCP) that were established within the Federal University of Technology Akure (FUTA) campus, Ondo state, Nigeria with no intention for database storage.Goal and Objectives: This study aimed at mapping of control points distribution within the University community.

Context and background: Cities in developing world are experiencing rapid urbanization characterized by rapid population growth. Tanzania like many other most of urban areas face poor public transport which force city dwellers to use alternative transport including walking.

Spatio-Temporal Mapping Of Urban Heat Island In Ikeja Local Government Area Of Lagos State

Context and Background:Changes in the way powers are structured in Morocco have had an impact on the dynamics linking territorial stakeholders and on territorial development.

There is an urgent need for countries to transition their national food and land-use systems toward food and nutritional security, climate stability, and environmental integrity. How can countries satisfy their demands while jointly delivering the required transformative change to achieve global sustainability targets? Here, we present a collaborative approach developed with the FABLE—Food, Agriculture, Biodiversity, Land, and Energy—Consortium to reconcile both global and national elements for developing national food and land-use system pathways.

This application is a customized version of the Global Agriculture Monitoring System (GLAM), made in partnership with data4MOZ with a focus on Mozambique, the Limpopo River Basin, and its watersheds.